output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing 2026 · cs.SEShow all

14 papers · 2 filters

cs.SE2026

AgentChaos: Chaos Engineering for Agent Systems via Programmatic Fault Injection

Gou Tan, Zhensu Sun, Jieke Shi +10

Agent systems rely on LLM APIs for every response, but these APIs can return server errors, truncated responses, or corrupted content that propagates through downstream agents and…

cs.SE2026

Demystifying Solana Bots: From GitHub Blueprints to On-Chain Fingerprints

Xiaoye Zheng, Yujing Chen, Minghao Wu +5

Solana is an emerging blockchain platform designed for high throughput and low transaction fees, making it inexpensive to submit transactions at scale and, consequently, increasing…

cs.SE2026

Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching

Chengyan Ma, Jieke Shi, Ruidong Han +4

Trusted Execution Environments (TEEs) provide hardware-based isolation to protect sensitive data and computations from potentially compromised operating systems (OS). However, TEE…

cs.SE2026

Finding Missing Input Validation in TEEs via LLM-Assisted Symbolic Execution

Chengyan Ma, Jieke Shi, Ruidong Han +3

Trusted Execution Environments (TEEs) provide hardware-enforced isolation that protects sensitive code and data from untrusted software. Despite their strong security guarantees, a…

cs.SE2026

MuMuTestUp: Mutation-based Multi-Agent Test Case Update

Dawei Tian, Jiakun Liu, Yun Peng +4

Modern software systems evolve rapidly under CI/CD practices, where tests are critical for quality. However, substantial code changes often render existing test cases obsolete, cau…

cs.SE2026

Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files

Christoph Treude, Sebastian Baltes, Marc Cheong

As AI coding agents become embedded in software development workflows, developers are beginning to operationalize ethical principles by encoding behavioral rules into repository-le…

cs.SE2026

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap

Christoph Treude

AI coding assistants and autonomous agents are becoming integral to software development workflows, reshaping how code is produced, reviewed, and maintained. While recent research…

cs.SE2026

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI

Christoph Treude, Christopher M. Poskitt, Rashina Hoda

Peer review in software engineering research operates under tight time constraints, while generative AI has substantially reduced the human effort required to produce polished rese…

cs.SE2026

LogFold: Compressing Logs with Structured Tokens and Hybrid Encoding

Shiwen Shan, Yintong Huo, Hongzhan Zhong +3

Logs are essential for diagnosing failures and conducting retrospective studies, leading many software organizations to retain log messages for a long time. Nevertheless, the volum…

cs.SE2026

How Effective Are NPM Malicious Package Detectors? A Large-Scale Empirical Study

Wenbo Guo, Zhongwen Chen, Zhengzi Xu +7

The NPM ecosystem faces escalating threats from malicious packages that exploit its open publication model. While numerous detection tools have been proposed, they are evaluated on…

cs.SE2026

AtPatch: Debugging Transformers via Hot-Fixing Over-Attention

Shihao Weng, Yang Feng, Jincheng Li +3

Transformer-based deep neural networks (DNNs) affected by backdoor attacks and unfairness typically exhibit anomalous attention patterns, leading to over-attend to backdoor trigger…

cs.SE2026

Future of Software Engineering Research: The SIGSOFT Perspective

Massimiliano Di Penta, Kelly Blincoe, Marsha Chechik +4

As software engineering conferences grow in size, rising costs and outdated formats are creating barriers to participation for many researchers. These barriers threaten the inclusi…

cs.SE2026

Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests

Pien Rooijendijk, Christoph Treude, Mairieli Wessel

Vulnerability identifiers such as CVE, CWE, and GHSA are standardised references to known software security issues, yet their use in practice is not well understood. This paper com…

cs.SE2026★ 1 cited

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages

Wenbo Guo, Shiwen Song, Jiaxun Guo +5

Open-source ecosystems such as NPM and PyPI are increasingly targeted by supply chain attacks, yet existing detection methods either depend on fragile handcrafted rules or data-dri…